English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

An efficient computational approach for optimal reconstructing parameters ofbinary-type physical properties for models in biomedical applications isdeveloped and validated. The methodology includes gradient-based multiscaleoptimization with multilevel control space reduction by using principalcomponent analysis (PCA) coupled with dynamical control space upscaling. Thereduced dimensional controls are used interchangeably at fine and coarse scalesto accumulate the optimization progress and mitigate side effects at bothscales. Flexibility is achieved through the proposed procedure for calibratingcertain parameters to enhance the performance of the optimization algorithm.Reduced size of control spaces supplied with adjoint-based gradients obtainedat both scales facilitate the application of this algorithm to models of highercomplexity and also to a broad range of problems in biomedical sciences. Thistechnique is shown to outperform regular gradient-based methods applied to finescale only in terms of both qualities of binary images and computing time.Performance of the complete computational framework is tested in applicationsto 2D inverse problems of cancer detection by the electrical impedancetomography (EIT). The results demonstrate the efficient performance of the newmethod and its high potential for minimizing possibilities for false positivescreening and improving the overall quality of the EIT-based procedures.

A Multiscale Optimization Framework for Reconstructing Binary Images using Multilevel PCA-based Control Space Reduction